Article
Machine Learning-Derived Echocardiographic Phenotypes Predict Heart Failure Incidence in Asymptomatic Individuals.
JACC. Cardiovascular imaging - 1 Feb 2022
Kobayashi Masatake, Huttin Olivier, Magnusson Martin, Ferreira João Pedro, Bozec Erwan, Huby Anne-Cecile, Preud'homme Gregoire, Duarte Kevin, Lamiral Zohra, Dalleau Kevin, Bresso Emmanuel, Smaïl-Tabbone Malika, Devignes Marie-Dominique, Nilsson Peter M, Leosdottir Margret, Boivin Jean-Marc, Zannad Faiez, Rossignol Patrick, Girerd Nicolas
Abstract excerpt
OBJECTIVES: This study sought to identify homogenous echocardiographic phenotypes in community-based cohorts and assess their association with outcomes. BACKGROUND: Asymptomatic cardiac dysfunction leads to a high risk of long-term cardiovascular morbidity and mortality; however, better echocardiographic classification of asymptomatic individuals remains a challenge. METHODS: Echocardiographic phenotypes were...
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